Cgi (GIB) Receivables (2009 - 2026)
Cgi's Receivables was $1.14 billion in the quarter ended Jun 30, 2026, compared with $46.25 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Cgi (GIB) Receivables (2009 - 2026) Analysis & Trends
As of Sep 30, 2025, Receivables at Cgi came in at $1.17 billion, up 14.4% from the prior year.
- Receivables shows a five-year compound annual growth rate of 5.1% (years ended Sep 2020 to Sep 2025).
- In earlier years, Receivables was $1.03 billion in the year ended Sep 30, 2024 (-3.6%), $1.06 billion in the year ended Sep 30, 2023 (+1.7%), $1.05 billion in the year ended Sep 30, 2022 (+6.9%) and $978.28 million in the year ended Sep 30, 2021 (+6.9%).
- Quarterly Receivables has moved between -$111.58 million (the quarter ended Dec 31, 2022) and $1.17 billion (the quarter ended Sep 30, 2025) over five years.
- The best year-over-year quarter for Receivables over five years was the quarter ended Mar 31, 2024 (growth of 39.3%); the worst was the quarter ended Mar 31, 2022 (a decline of 49.2%).
- Per Business Quant data, GIB's Receivables in the three quarters before the quarter ended Jun 30, 2026 was $1.14 billion (quarter ended Mar 31, 2026), $1.11 billion (quarter ended Dec 31, 2025) and $1.17 billion (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Science Applications International | 5.38 Bn | 4.92 Bn | 239.00 Mn | 996.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.14 Bn |
| Mar 31, 2026 | 1.14 Bn |
| Dec 31, 2025 | 1.11 Bn |
| Sep 30, 2025 | 1.17 Bn |
| Jun 30, 2025 | 46.25 Mn |
| Mar 31, 2025 | 78.85 Mn |
| Dec 31, 2024 | 5.70 Mn |
| Sep 30, 2024 | 1.03 Bn |
| Jun 30, 2024 | -34.03 Mn |
| Mar 31, 2024 | 94.74 Mn |
| Dec 31, 2023 | -76.46 Mn |
| Sep 30, 2023 | 1.06 Bn |
| Jun 30, 2023 | -87.73 Mn |
| Mar 31, 2023 | 68.03 Mn |
| Dec 31, 2022 | -111.58 Mn |
| Sep 30, 2022 | 1.05 Bn |
| Jun 30, 2022 | -74.31 Mn |
| Mar 31, 2022 | 62.80 Mn |
| Dec 31, 2021 | -95.61 Mn |
| Sep 30, 2021 | 978.28 Mn |
API Access
Cgi Receivables API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=receivables&ticker=GIB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "GIB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=receivables&ticker=GIB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();